000			03152nam a22003257a 4500
003			OSt
005			20250312111116.0
008			250312b |||||||| |||| 00| 0 eng d
040			_aTUPM _bEnglish _cTUPM _dTUPM _erda
050			_aBTH QA 76.9 _bC37 2024
100			_aCarranza, Zyrabel G. _eauthor
245			_aDevelopment of an automated deoxygenated duck egg (balut) sorting system with app integration for inventory management/ _cZyrabel G. Carranza, Aira Jane H. Cosme, Angelo G. Magat, Severino A. Sequena Jr. and Winnard M. Vidal.
260			_aTechnological University of the Philippines, Manila. _c2024
300			_axiv, 135 pages. _c29cm
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aBachelor's thesis
502			_aCollege of Industrial Technology.-- _bBachelor of Engineering Technology major in Computer Engineering Technology: _cTechnological University of the Philippines, Manila. _d2024
504			_aIncludes bibliographic references and index.
520			_aWhile the main practice of sorting balut and non-balut up to this day is manually done, it is efficient mostly to experienced and large-scale duck eggs sorting facilities. Even with the intent and plan to start a business related to the balut sorting profession, it is a necessity to be knowledgeable of the variables and be efficient in it as well. The existing method of sorting balut from non-balut does not cater to small, micro farms and businesses, especially those who are new to the field or those without prior knowledge. The project's primary goal is to give small, private balut farmers a sorting system that integrates with an inventory monitoring app. The system will cut down on sorting time, staffing requirements, and increase the capacity to produce more incubated deoxygenated eggs. The image dataset used to train the prototype contains that of balut and non-balut: tuyot and higop na penoy. The study introduces an IoT-based balut sorting machine utilizing advanced image processing to classify duck eggs based on their light absorption properties, aiming to improve quality control and reduce manual labor for small and micro enterprises. The system integrates hardware like an Arduino Mega 2560, Raspberry Pi, web camera, and stepper motor for precise sorting, while IoT connectivity allows remote monitoring and control via a mobile application. Functional tests confirmed the system's efficiency, earning an overall mean of 4.58/5.00 which has the description ratio of “Highly Acceptable” for its user-friendly design, operational reliability, and safety features, making it a valuable tool for modernizing balut production. KEYWORDS: automation, agriculture, duck egg candling, sorting digital image processing, inventory monitoring app, sorting deoxygenated eggs
650			_ainventory monitoring app
650			_asorting deoxygenated eggs
650			_aautomation
700			_aCosme, Aira Jane H. _eauthor
700			_aMagat, Angelo G. _eauthor
700			_aSequena Jr., Severino A. _eauthor
700			_aVidal, Winnard M. _eauthor
942			_2lcc _cBTH CIT _n0
999			_c29475 _d29475